code: def img_transform(img, transform=None):
      sample = {"image": img, "label": 0}
  
      sample = transform(sample)
      return sample
  
file_path: insightface/reconstruction/ostec/external/graphonomy/FaceHairMask/graphonomy_inference.py
imports: import cv2
  import torch
  import timeit
  import numpy
  from PIL import Image
  import torch.nn.functional
  from torch.autograd import Variable
  from torchvision import transforms
  from FaceHairMask import graph
  from FaceHairMask import graphonomy_process
label_desc: Use image node_id 7 for calling a global function with example usage: img_transform(img, transform) and returns: sample